Warehouse KPIs: Formulas, 2026 WERC Benchmarks, and 3PL Metrics

A warehouse can have plenty of data and still miss. The WMS produces dozens of reports, the dashboard is mostly green, and customers still complain about late or wrong orders. Common causes are too many measures, loose definitions, and speed tracked without accuracy.

This guide lists the warehouse KPIs that matter, with formulas, the benchmarks that exist, the extra KPIs 3PLs need, and how to use them without gaming them. To turn the numbers into improvements, see how to improve warehouse efficiency. For where each process tends to break, see the warehouse operations guide.

Which warehouse KPIs the industry tracks

The Warehousing Education and Research Council (WERC) publishes DC Measures benchmarks each year. Its 2026 report tracks 36 operational metrics, based on surveys of distribution professionals in manufacturing, retail, wholesale, third-party warehousing, life sciences, and transportation services. The 5 most popular metrics were:

• On-time shipments

• Dock-to-stock cycle time

• Average warehouse capacity used

• Peak warehouse capacity used

• Backorders as a percentage of total lines

The full WERC report is free to WERC corporate members and MHI members and sold to others. A Hyster-Yale white paper summarizing the 2026 data defines best-in-class as the top 20% of respondents and publishes several of those thresholds, which are cited below.

Core warehouse KPIs and how to calculate them

Service

• On-time shipments. Orders shipped by their planned time divided by total orders shipped, times 100. Best-in-class sites ship more than 99.5% of orders on time, meaning off the dock and in transit.

• Order cycle time. Internal order cycle time runs from order release to ship confirmation. Total order cycle time runs from the customer's order to the customer's receipt. WERC tracks both. Report the share of orders within target as well as the average, because the average hides the late tail.

• Backorders as a percentage of lines. Order lines backordered divided by total lines ordered, times 100.

• Perfect order rate. APQC's formula multiplies the on-time delivery, complete order, damage-free, and accurate documentation rates, then multiplies by 100. For example, 4 rates of 98% each give a perfect order rate of about 92%.

Quality

• Order picking accuracy. Orders picked without error divided by total orders picked, times 100. Best-in-class sites exceed 99.7%. See the order picking accuracy guide.

• Inventory accuracy. Locations whose SKU and quantity match the record divided by locations counted, times 100. See the inventory accuracy guide for why the location-level method matters.

Productivity and inbound

• Pick rate. Units or order lines picked divided by direct picking labor hours. State which one you use. Lines are steadier when units per line vary widely.

• Units per labor hour. Units shipped divided by all warehouse labor hours, direct and indirect. It shows whether the whole building got more efficient, not just one process.

• Dock-to-stock time. Time from goods arriving to being put away and recorded in the system. Best-in-class sites do it in under 3.1 hours.

Cost and capacity

• Cost per order. Total warehouse operating cost for the period divided by orders shipped. Use loaded labor cost, meaning wages plus benefits and payroll taxes, not base pay alone.

• Capacity used. Occupied locations, or cube used, divided by total available, tracked as an average and at peak. Best-in-class sites average 90% or more. Very full buildings slow putaway and replenishment, so set an upper limit as well as a target.